Evidence map›Paper›PMID 40518720›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2025

Electroconvulsive therapy modulates the interplay between depressive symptoms in difficult-to-treat depression: A longitudinal network analysis.

Marialaura Lussignoli, Marco Bortolomasi, Giulia Perusi, Giorgio Pigato, Alessandra Minelli, Fabio Sambataro

Erratum issuedAbstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Marialaura LussignoliDepartment of Neuroscience (DNS), https://ror.org/00240q980University of Padova, Padua, Italy.ORCID 0009-0003-3968-9060
Marco BortolomasiPsychiatric Hospital "Villa Santa Chiara", Verona, Italy.
Giulia PerusiDepartment of Molecular and Translational Medicine, https://ror.org/015ahgd08University of Brescia, Brescia, Italy.
Giorgio PigatoPsychiatry Clinics, https://ror.org/04bhk6583Padua University Hospital, Padua, Italy.
Alessandra MinelliDepartment of Molecular and Translational Medicine, https://ror.org/015ahgd08University of Brescia, Brescia, Italy.ORCID 0000-0002-9463-7808
Fabio SambataroDepartment of Neuroscience (DNS), https://ror.org/00240q980University of Padova, Padua, Italy.ORCID 0000-0003-2102-416X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifficult-to-treat depression (DTD) is a common clinical challenge for major depressive disorder and bipolar disorders. Electro convulsive therapy (ECT) has proven to be one of the most effective treatments for this condition. Although several studies have investigated individually the clinical factors associated with the DTD response, the role of their interplay in the clinical response to ECT remains unknown. In the present study, we aimed to characterize the network of symptoms in DTD, evaluate the effects of ECT on the interrelationship of depressive symptoms, and identify the network characteristics that could predict the clinical response.

methodsA network analysis of clinical and demographic data from 154 patients with DTD was performed to compare longitudinally the patterns of relationships among depressive symptoms after ECT treatment. Furthermore, we estimated the network structure at baseline associated with a greater clinical improvement (≥80% reduction at Montgomery-Åsberg Depression Rating Scale total score).

resultsECT modulated the network of depressive symptoms, with increased strength of the global network (

conclusionsIn conclusion, ECT treatment may affect not only the severity of the symptoms but also their relationship; this may contribute to the response in DTD.

Indexed as

Depressive Disorder, Treatment-ResistantElectroconvulsive TherapyMajor Depressive DisorderOutcome Assessment, Health CareAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedBipolar disordersDifficult-to-treat depressionElectroconvulsive therapyMajor Depressive Disordernetwork analysis

Identifiers

PMID40518720
PMCPMC12260723

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.